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We are seeking an experienced
Generative AI Engineer
to support a high-impact consulting engagement within the healthcare sector. This role is fully remote and offers the opportunity to design and implement next-generation AI solutions that directly shape enterprise-level operations.
Responsibilities
Design, develop, integrate, deploy, and maintain sophisticated AI-driven systems at scale.
Lead the full lifecycle of machine learning solutions: explore, design, model, train, optimize, deploy, monitor, and measure.
Build and fine-tune
LLMs , enable
RAG pipelines , engineer effective prompts, and integrate
knowledge graphs .
Implement
agentic AI methodologies : guidance frameworks, guardrails, human-in-the-loop workflows, multi-agent orchestration, reflection, citing sources, and response verification to ensure safe and accurate outputs.
Required Skills
Proven success in designing and deploying enterprise-scale AI/ML systems.
Strong expertise with
Generative AI, LLM fine-tuning, RAG enablement, and prompt engineering .
Hands-on experience with
agentic workflows , knowledge graph integration, and AI safety techniques.
Ability to deliver
robust, scalable AI solutions
that align with compliance and business requirements.
Details
Type:
Contract (W2 or 1099)
Work Authorization:
US Citizens and Green Card Holders (no sponsorship available)
Location:
100% Remote
How to Apply
If you are an AI/ML professional passionate about advancing
Generative AI solutions
in real-world environments, please apply directly here on LinkedIn or connect with us to learn more.
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Contract
Job function
Job function Engineering, Information Technology, and Health Care Provider
Industries Hospitals and Health Care, Information Services, and IT Services and IT Consulting
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